Atul Jain1*, Prasanth Meiyappan 1, Ramakrishna Nemani 2...

Objectives

Satellite-Based LCLUC Data

Satellite-Based LAI DataUse data-modeling framework to pursue three principal objectives:

Improve our understanding of the historical effects of land cover and landuse change (LCLUC) dynamics on the quantities and pathways ofbiogeochemical carbon and nitrogen fluxes

achieve by linking the satellite-based historical rates of LCLUCs with the biophysicalmodel

Project future LCLUC in the study region in the next 50 yearsachieve by linking the biophysical and socio-economic models

Quantify the impacts of current and future LCLUC on carbon and nitrogendynamics in the study region

achieve by applying an improved version of the biophysical model

Atul Jain1*, Prasanth Meiyappan1, Ramakrishna Nemani2, Sangram Ganguly2, David Skole3, Walter Chomentowski3, Brian O’Neill41University of Illinois at Urbana-Champaign, 2NASA Ames, 3Michigan State University, 4NCAR

*Email: jain1@illinois.com

Land Use Change Due to Different Human ActivitiesLAI

ISAM Land Surface Model and ResultsISAM Land Surface Model

Calculate fluxes of carbon, nitrogen,energy, water, and the dynamicalprocesses that alter these fluxes21 Biome types 0.5 x 0.5 degree resolution30 minutes temporal scaleSeason-to-interannual variability (penology)

References:Jain and Yang (2005, GBC)Jain et al. (2005, GRL)Jain et al. (2006, JGR)Jain et al. (2009, GBC)Yang et al (2009, GBC)Yang et al.(2010, Biogeoscience)

ISAM Model Estimated GPP vs. MODIS Data Comparison of (a) ISAMestimated annual GPPaveraged for the timeperiod 2000-2006 with(b) MODIS GPP. MODISGPP figure (b) is directlydownloaded from theMODIS data website

(a) (b)

ISAM Model Estimated C & N2O Emissions due to LCLUC ISAM estimated (a) Cemissions (Unit:gC/m2/yr), (b) N2Oemissions (Unit: kgN/ha/yr) from LCLUCs inthe 2005. Positive valuesrepresent net C/Nrelease to theatmosphere and negativevalues represent net C/Nstorage in the terrestrialbiosphere

(a) (b)

Linking Socio-Economic and Biophysical Systems

PET Model IPCC A2 LU Scenario Development:Computable General Equilibrium model9 world regions5 economic sectors

Input• A2 ;and use input assumptions - IIASA• Economic & land data - GTAP• Energy data - IEA

PET-ISAM IPCC A2 Scenario Results

Cropland Area (ha) in 2050 Pastureland Area (ha) in 2050 Secondary Forest Area (ha) in 2050

Acknowledgements

LAI LAI

Peak LAI Averaged for the Winter Months (Dec., Jan., Feb)

Peak LAI Averaged for the Summer Months (Jun., Jul., Aug)

Monthly climatological (2003-2008) LAI values for monsoon Asia region are estimated using aradiative transfer model. The input to the model are 250 m MODIS surface reflectancedata, 250 m MODIS resampled LC data. All the data and modeling simulations are performedusing the TOPS modeling framework on NASA’s Earth Exchange (NEX) platform.

Remotely sensed LCLU data for Indiaregion at 56 m resolution (2004-2005)based on Indian satellite IRS-P6 (AWiFS)(Courtesy: P.S. Roy, ISRO) .

Remotely sensed forest fraction data forSouth East Asia at 30 m resolution (2005)based Landsat satellite.

MODIS LCLU data resampled at 250 meter resolution for the year2005. The land classifications are based on University of Marylandscheme.

(a) Cropland (b) Pastureland

(c) Wood Harvest (d) Urban Land

(e) Secondary Forest

LCLUCs due different human activitiescompiled based on different sources.The data is compiled over the period1765-2005. The data is shown here forthe year 2005 in unit km2. The sourcesfor different data sets are :(a) Cropland - updated based on

Ramankutty, N., and J.A. Foley(1999),

(b) Pastureland - Ramankutty, N., andJ.A. Fole (personal communication),

(c) Wood harvest – Hurtt et al. (2006),(d) Urban land – Goldewijk et al. (2010),(e) Secondary forest – Yang et al.

(2010).